Support recovery in compressed sensing: An estimation theoretic approach (original) (raw)

Performance of Jointly Sparse Support Recovery in Compressed Sensing

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ita.ucsd.edu

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Compressed Sensing via Iterative Support Detection

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Performance Analysis of Compressed Sensing Given Insufficient Random Measurements

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On the Achievability of Cram�r-Rao Bound In Noisy Compressed Sensing

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An Information-Theoretic Approach to Distributed Compressed Sensing

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On the Achievability of Cramér–Rao Bound in Noisy Compressed Sensing

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A remark on compressed sensing

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Performance analysis for sparse support recovery

Gongguo Tang

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Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices

Marc Mézard

Journal of Statistical Mechanics: Theory and Experiment, 2012

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Optimal Decoding by Thresholding in Compressed Sensing

Wolfgang Dahmen

2008

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On oracle-type local recovery guarantees in compressed sensing

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